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Dataset of the vascular e-Learning during the COVID-19 pandemic (EL-COVID) survey.

Publication ,  Journal Article
Patelis, N; Bisdas, T; Jing, Z; Feng, J; Trenner, M; Tri Nugroho, N; Reis, PEO; Elkouri, S; Lecis, A; Karam, L; Roux, DL; Ionac, M; Yeung, KK ...
Published in: Data in brief
October 2021

This dataset supports the findings of the vascular e-Learning during the COVID-19 pandemic survey (the EL-COVID survey). The General Data Protection Regulation (GDPR) of the European Union was taken into consideration in all steps of data handling. The survey was approved by the institutional ethics committee of the Primary Investigator and an online English survey consisting of 18 questions was developed ad-hoc. A bilingual English-Mandarin version of the questionnaire was developed according to the instructions of the Chinese Medical Association in order to be used in mainland People's Republic of China. Differences between the two questionnaires were minor and did affect the process of data collection. Both questionnaires were hosted online. The EL-COVID survey was advertised through major social media. All national and regional contributors contacted their respective colleagues through direct messaging on social media or by email. Eight national societies or groups supported the dissemination of the EL-COVID survey. The data provided demographics information of the EL-COVID participants and an insight on the level of difficulty in accessing or citing previously attended online activities and whether participants were keen on citing these activities in their Curricula Vitae. A categorization of additional comments made by the participants are also based on the data. The survey responses were filtered, anonymized and submitted to descriptive analysis of percentage.

Duke Scholars

Published In

Data in brief

DOI

EISSN

2352-3409

ISSN

2352-3409

Publication Date

October 2021

Volume

38

Start / End Page

107442
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Patelis, N., Bisdas, T., Jing, Z., Feng, J., Trenner, M., Tri Nugroho, N., … Georgopoulos, S. (2021). Dataset of the vascular e-Learning during the COVID-19 pandemic (EL-COVID) survey. Data in Brief, 38, 107442. https://doi.org/10.1016/j.dib.2021.107442
Patelis, Nikolaos, Theodosios Bisdas, Zaiping Jing, Jiaxuan Feng, Matthias Trenner, Nyityasmono Tri Nugroho, Paulo Eduardo Ocke Reis, et al. “Dataset of the vascular e-Learning during the COVID-19 pandemic (EL-COVID) survey.Data in Brief 38 (October 2021): 107442. https://doi.org/10.1016/j.dib.2021.107442.
Patelis N, Bisdas T, Jing Z, Feng J, Trenner M, Tri Nugroho N, et al. Dataset of the vascular e-Learning during the COVID-19 pandemic (EL-COVID) survey. Data in brief. 2021 Oct;38:107442.
Patelis, Nikolaos, et al. “Dataset of the vascular e-Learning during the COVID-19 pandemic (EL-COVID) survey.Data in Brief, vol. 38, Oct. 2021, p. 107442. Epmc, doi:10.1016/j.dib.2021.107442.
Patelis N, Bisdas T, Jing Z, Feng J, Trenner M, Tri Nugroho N, Reis PEO, Elkouri S, Lecis A, Karam L, Roux DL, Ionac M, Berczeli M, Jongkind V, Yeung KK, Katsargyris A, Avgerinos E, Moris D, Choong A, Ng JJ, Cvjetko I, Antoniou GA, Ghibu P, Svetlikov A, Pedrajas FG, Ebben HP, Stepak H, Chornuy A, Kostiv S, Ancetti S, Tadayon N, Mekkar A, Magnitskiy L, Fidalgo-Domingos L, Matheiken S, Rosello ESS, Isik A, Kirkilesis G, Kakavia K, Georgopoulos S. Dataset of the vascular e-Learning during the COVID-19 pandemic (EL-COVID) survey. Data in brief. 2021 Oct;38:107442.
Journal cover image

Published In

Data in brief

DOI

EISSN

2352-3409

ISSN

2352-3409

Publication Date

October 2021

Volume

38

Start / End Page

107442